jupyter-naas/awesome-notebooks
Collection of production-ready Jupyter notebook templates for data and AI product development.
Not currently ranked — collecting fresh signals.
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This repository curates the largest catalog of ready-to-use Jupyter notebook templates designed for building data products such as analytical dashboards and AI automation engines. Each template follows the IMO (input, model, output) framework to streamline development. The notebooks interface with third-party tools via APIs and can function independently or as components of larger data products.
Frequently asked
- What is jupyter-naas/awesome-notebooks?
- Collection of production-ready Jupyter notebook templates for data and AI product development.
- Is awesome-notebooks open source?
- Yes — jupyter-naas/awesome-notebooks is open source, released under the BSD-3-Clause license.
- What language is awesome-notebooks written in?
- jupyter-naas/awesome-notebooks is primarily written in Jupyter Notebook.
- How popular is awesome-notebooks?
- jupyter-naas/awesome-notebooks has 3k stars on GitHub.
- Where can I find awesome-notebooks?
- jupyter-naas/awesome-notebooks is on GitHub at https://github.com/jupyter-naas/awesome-notebooks.